Moustafa Kurdi
American University of Technology, Computer Science, Faculty Member
The simulation of a navigation heterogeneous group of robots; unmanned ground vehicle (UGV), unmanned aerial vehicle (UAV) through GPS, digital map and image processing using probabilistic roadmap method (PRM) are addressed throughout... more
The simulation of a navigation heterogeneous group of robots; unmanned ground vehicle (UGV), unmanned aerial vehicle (UAV) through GPS, digital map and image processing using probabilistic roadmap method (PRM) are addressed throughout this paper. Having the capacitato navigate accurately is one of the major abilities of a mobile robot to effectively execute a variety of jobs including manipulation, docking, and transportation. To achieve the desired navigation accuracy, mobile robots are typically equipped with on-board sensors to observe persistent features in the environment, to estimate their pose from these observations, and to adjust tneir motion accordingly [1]. According to the scenario of the mission, UAV takes off from UGV, surveys the terrain and transmits Image terrestrial robot. UGV processes images, calculating the optimum trajectory method Probabilistic Roadmap with the help of GPS, and provide standalone navigate through the outdoor based on the calculated route. The group of robots is: UGV Belarus-132N and UAV Phantom-2 Vision quadcopter.
Research Interests:
This paper focuses on the full coordination between underwater robot and quadcopter by designing an efficient and encrypted video wireless communication using BPC for security reasons. Block Packet Cipher algorithm is focused on... more
This paper focuses on the full coordination between underwater robot and quadcopter by designing an efficient and encrypted video wireless communication using BPC for security reasons. Block Packet Cipher algorithm is focused on cryptographic protection of video transmitted from UAV to UUV. Encryption is performed bitwise modulo-2 addition of plaintext blocks, the size of which is 128, 256, 512 or 1024 bits, with blocks equal in length pseudo-random binary numbers. QURS (Quadcopter Underwater Robotic System) is a real-time obstacle avoidance capability in HydroView Sport Remote Operated Underwater Vehicle with the cooperation of quadcopter. The objective of this research paper is to identify the method involving the use of encrypted video transmission and image processing system from both underwater robot and quadcopter. QURS increases the efficiency and reliability of the whole system especially in robot navigation, image processing and obstacle avoidance due to the help and connec...
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In this paper, a license plate recognition technology will be addressed in regards to the following components: image preprocessing, segmentation and recognition of plates' numbers. This technology allows recognizing license plates... more
In this paper, a license plate recognition technology will be addressed in regards to the following components: image preprocessing, segmentation and recognition of plates' numbers. This technology allows recognizing license plates efficiently with day and night time images. Automatic number plate recognition (ANPR) system is a part of intelligent transport systems due to its efficient applications in areas such as highway electronic toll collection, traffic monitoring system, parking management, parking fee and so on. The article will delineate an automatic (programmed) neural network recognition system of auto license plates that was connected in numerous nations and our capacity to utilize this framework on Lebanese auto tags. This system depends on the extraction of the license plate, segmentation (division) of characters [1], and neural network optical character recognition (NNOCR) subsequent to catching a picture of the vehicle tag by a computerized camera. Applying this s...
Research Interests: Computer Science and IEEE
The detection and recognition of sub-surface buried objects, such landmines, with variable characteristics may be extremely difficult. Infrared (IR) thermography, which is widely employed in the detection of discontinuities in materials... more
The detection and recognition of sub-surface buried objects, such landmines, with variable characteristics may be extremely difficult. Infrared (IR) thermography, which is widely employed in the detection of discontinuities in materials and structures, would be in principle suitable also for this kind of application. The issue in this case appears to be the presence of excessive levels of background noise, whose modelling is difficult, in that it results from a number of factors e.g., moisture content, presence of vegetation, and variation of solar radiation at topsoil level. In recent years, a number of studies have tried to overcome these limitations and improve the reliability of this method, using filtering and automatic pattern recognition techniques, specific for the detection of buried objects. This work is aimed at revising and commenting the most recent experiences in this application of IR thermography. The article considers the possibility of using an IR thermal imaging c...
Predicting and supporting students' behavior turns out to be all the more difficult because of the vast volume of information in educational databases. Currently in Lebanon, the absence of existing system to dissect and screen or the... more
Predicting and supporting students' behavior turns out to be all the more difficult because of the vast volume of information in educational databases. Currently in Lebanon, the absence of existing system to dissect and screen or the student performance and progress is not used. We analyze educational data to figure out the reasons behind students' behaviors and make a decision for solutions and treatment paths. A systematical system on anticipating student performance is proposed by utilizing mining data procedures to enhance students' accomplishments. We could actually improve students' achievement, success, and bring the benefits and impacts to students, educators and academic institutions. This paper centers on how the expectation calculation can be utilized to distinguish the most imperative qualities in students' information (behavior). We could really enhance students' accomplishment, achievement, and convey the benefits and effects to students, instructors and scholarly establishments.
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This paper deals with a path planning and intelligent control of Belarus Mobile Robot which should move safely in unstructured environment by means of Neural Network System (NNS). The approach combines input variables from different... more
This paper deals with a path planning and intelligent control of Belarus Mobile Robot which should move safely in unstructured environment by means of Neural Network System (NNS). The approach combines input variables from different resources such as: GPS, RVS (Robot Vision System), and QVS (Quad-copter Vision System). A model based on competitive learning has been developed for robot motion planning. Our method of the construction of a collision-free path for moving robot among obstacles is based on neural networks. A new algorithm for updating the neural activities has been proposed to solve the positioning and navigation problems for mobile robot.
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This paper introduces the design and development of QMRS (Quadcopter Mobile Robotic System). QMRS is a real-time obstacle avoidance capability in Belarus-132N mobile robot with the cooperation of quadcopter Phantom-4. The function of QMRS... more
This paper introduces the design and development of QMRS (Quadcopter Mobile Robotic System). QMRS is a real-time obstacle avoidance capability in Belarus-132N mobile robot with the cooperation of quadcopter Phantom-4. The function of QMRS consists of GPS used by Mobile Robot and image vision and image processing system from both robot and quad-copter and by using effective searching algorithm embedded inside the robot. Having the capacity to navigate accurately is one of the major abilities of a mobile robot to effectively execute a variety of jobs including manipulation, docking, and transportation. To achieve the desired navigation accuracy, mobile robots are typically equipped with on-board sensors to observe persistent features in the environment, to estimate their pose from these observations, and to adjust their motion accordingly. Quadcopter takes off from Mobile Robot, surveys the terrain and transmits the processed Image terrestrial robot. The main objective of research pap...
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Research Interests:
Digital watermarking is an authentication technique for distribution of content over the Internet. Such a method is highly desired due to the proliferation of high-capacity, digital recording contrivances which have fueled incremented... more
Digital watermarking is an authentication technique for distribution of content over the Internet. Such a method is highly desired due to the proliferation of high-capacity, digital recording contrivances which have fueled incremented concerns over copyright auspice of content [1]. Digital Watermarks are valuable mechanisms for protecting image, audio, video, and data and they are withal becoming a consequential implement in facilitating e-commerce. Any company that is earnest about safely protecting and distributing their content and products must use digital watermarks. Digital watermarking and steganography is considered as the most interesting field of research and development for many authors. In this article, we use Least Significant Bit (LSB) and Random Right Circular Shift (RRCF) in digital watermarking. LSB is used because it is not noticeable by human eyes and of its minor distortion of the image. For simulation of our algorithm, we apply MATLAB using Least Significant Bit (LSB) and Random Right Circular Shift (RRCF).
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In this research, a theoretical study will be directed towards an embedded biometric recognition system that can be used in any IT environment or sector for increasing the overall security level. Throughout the research article the main... more
In this research, a theoretical study will be directed towards an embedded biometric recognition system that can be used in any IT environment or sector for increasing the overall security level. Throughout the research article the main discussions will focus on fingerprint recognition system (FRS) based on the invariant moment and fuzzy features. A region of interest (ROI) is addressed where a subsection of images is recognized for an individual instance. Image segmentation is analyzed, particularly those related to pattern classification.